Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Browse the Knowledge Base!

Can computers learn to read? We think so. "Read the Web" is a research project that attempts to create a computer system that learns over time to read the web. Since January 2010, our computer system called NELL (Never-Ending Language Learner) has been running continuously, attempting to perform two tasks each day:

• First, it attempts to "read," or extract facts from text found in hundreds of millions of web pages (e.g., playsInstrument(George_Harrison, guitar)).
• Second, it attempts to improve its reading competence, so that tomorrow it can extract more facts from the web, more accurately.

So far, NELL has accumulated over 50 million candidate beliefs by reading the web, and it is considering these at different levels of confidence. NELL has high confidence in 2,810,379 of these beliefs — these are displayed on this website. It is not perfect, but NELL is learning. You can track NELL's progress below or @cmunell on Twitter, browse and download its knowledge base, read more about our technical approach, or join the discussion group.

Recently-Learned Facts

instance	iteration	date learned	confidence
stonecoal_lake is a lake	1111	06-jul-2018	100.0
battle_of_boyne is a military conflict	1111	06-jul-2018	100.0
zoo_barcelona is an aquarium	1111	06-jul-2018	100.0
cecil_road is a street	1111	06-jul-2018	100.0
first_awareness is a character trait	1111	06-jul-2018	99.4
peachtree_street is a street in the city atlanta	1116	12-sep-2018	100.0
mitsubishi makes the automobile colt	1114	25-aug-2018	94.4
insects is a type of spider_mites	1111	06-jul-2018	100.0
web_site is headquartered in the country u_s_	1116	12-sep-2018	100.0
dodge is a specific automobile maker dealer in wisconsin	1115	03-sep-2018	100.0